Why Choose this Training Course?

Effectively planned Preventive & Predictive Maintenance which is integrated with the workflow is critical for a successful company and an integral part of maintenance management strategies such as RCM, RBM, TPM, and even 6-Sigma. This comprehensive 5-day training course has been designed to benefit both qualified new professionals as well as experienced professionals who may be involved in the rollout of a comprehensive Maintenance & Asset Management process or auditing an existing process. It covers all the steps required in developing a successful Preventive & Predictive Maintenance Program from failure behavior and finding the right preventive maintenance task until a well-managed preventive & predictive maintenance program, fully integrated with the workflow and the CMMS.

Leading industrial organizations are evolving away from reactive ("fix-it-when-it-breaks") management into preventive and predictive management ("anticipating, planning, and fix-it-before-it-breaks"). This evolution requires well-planned and executed actions on several fronts.

This training course will highlight:

Preventive & predictive maintenance strategies and their position within Asset Management

Target Audience

Who is this Training Course for?

This training course is suitable to a wide range of professionals but will greatly benefit:

Maintenance Managers & Supervisors

Personnel designated as planners, or identified to become planners

Predictive Maintenance Technicians & Supervisors

Key leaders from each Maintenance craft

Maintenance & Reliability engineers

Materials Management Managers/Supervisors

CMMS key users

Training Methods

How will this Training Course be Presented?

This PetroKnowledge training course will be conducted along interactive workshop principles. There will be a variance of lectures and practical exercises. Experiences from different areas will be discussed. There will be many opportunities for discussion and sharing experiences.

Daily Agenda

Day One: The Need for Maintenance

Competency Description: The objective is to establish a strong understanding of the position of preventive & predictive maintenance strategies and their supporting best practices within the broader perspective of the asset management framework.

Key behaviours

Understanding the maintenance & asset management strategy framework

Identify causes, likelihood and severity of failure

Understand the concept of Risk Based Maintenance

Understand the relationship with zero based budgeting

Identifying and learning from best practice

Topics to be covered

Maintenance & Asset Management as a business process

Risk Based Maintenance (RBM)

Causes of Failure

Likelihood & Severity of Failure - Risk Analysis

Failure Mode Effect & Criticality Analysis (FMECA)

Choosing the (preventive) maintenance tasks

Optimization of Maintenance Decisions

Failure Pattern Identification

Statistical Analysis of Failures

Weibull Analysis

Zero Base Budgeting

Define the production requirement

Define the maintenance requirement

Day Two: Developing the CMMS

Competency Description: The objective is to understand the supporting function of a CMMS.

Key behaviours

Understand the supporting function of a CMMS system

Explain the role of the CMMS in workflow & administrating maintenance history

Understand the importance of an asset register

Understand the configuration management practices

Identifying and learning from best practice

Topics to be covered

Database & structure

CMMS & workflow

CMMS & Maintenance Strategies

Asset register

Configuration management

Day Three: The Planning Function

Competency Description: The objective is to understand the relationship of the planning function and the preventive maintenance strategy.

The maintenance workflow and how it relates to the preventive maintenance strategy

Roles & responsibilities in work preparation, planning and scheduling

Principles of work preparation & planning

Principles of scheduling

Network planning

Day Four: Predictive Maintenance

Competency Description: The objective is to understand the different predictive maintenance technologies and how they fit in the RBM concept.

Key behaviours

Understanding the concept of PFA

Integration with RBM

Identifying the available predictive maintenance technologies

Understanding the application

Identifying and learning from best practice

Topics to be covered

Potential Failure Analysis (PFA)

Integration of PFA with FMECA & RBM

Understanding the P-F Interval

Decide which Technologies to Apply

Predictive maintenance technologies

Vibration analysis

Visual inspection

Infrared Thermography

Temperature sensitive labels

Megger tests

Ultrasonics

Oil analysis

Day Five: Control of the Maintenance Process

Competency Description: The objective is to understand how to get grip on the maintenance process and workflow by implementing the preventive maintenance strategies, integrate them into your system and monitor.

Implementing Effective Preventive & Predictive Maintenance Programmes

Code

Date

Venue

Fees

MN161

30 Jun - 04 Jul 2019

Dubai - UAE

$4,950

MN161

03 - 07 Nov 2019

Dubai - UAE

$4,950

Why Choose this Training Course?

Effectively planned Preventive & Predictive Maintenance which is integrated with the workflow is critical for a successful company and an integral part of maintenance management strategies such as RCM, RBM, TPM, and even 6-Sigma. This comprehensive 5-day training course has been designed to benefit both qualified new professionals as well as experienced professionals who may be involved in the rollout of a comprehensive Maintenance & Asset Management process or auditing an existing process. It covers all the steps required in developing a successful Preventive & Predictive Maintenance Program from failure behavior and finding the right preventive maintenance task until a well-managed preventive & predictive maintenance program, fully integrated with the workflow and the CMMS.

Leading industrial organizations are evolving away from reactive ("fix-it-when-it-breaks") management into preventive and predictive management ("anticipating, planning, and fix-it-before-it-breaks"). This evolution requires well-planned and executed actions on several fronts.

This training course will highlight:

Preventive & predictive maintenance strategies and their position within Asset Management

Target Audience

Who is this Training Course for?

This training course is suitable to a wide range of professionals but will greatly benefit:

Maintenance Managers & Supervisors

Personnel designated as planners, or identified to become planners

Predictive Maintenance Technicians & Supervisors

Key leaders from each Maintenance craft

Maintenance & Reliability engineers

Materials Management Managers/Supervisors

CMMS key users

Training Methods

How will this Training Course be Presented?

This PetroKnowledge training course will be conducted along interactive workshop principles. There will be a variance of lectures and practical exercises. Experiences from different areas will be discussed. There will be many opportunities for discussion and sharing experiences.

Daily Agenda

Day One: The Need for Maintenance

Competency Description: The objective is to establish a strong understanding of the position of preventive & predictive maintenance strategies and their supporting best practices within the broader perspective of the asset management framework.

Key behaviours

Understanding the maintenance & asset management strategy framework

Identify causes, likelihood and severity of failure

Understand the concept of Risk Based Maintenance

Understand the relationship with zero based budgeting

Identifying and learning from best practice

Topics to be covered

Maintenance & Asset Management as a business process

Risk Based Maintenance (RBM)

Causes of Failure

Likelihood & Severity of Failure - Risk Analysis

Failure Mode Effect & Criticality Analysis (FMECA)

Choosing the (preventive) maintenance tasks

Optimization of Maintenance Decisions

Failure Pattern Identification

Statistical Analysis of Failures

Weibull Analysis

Zero Base Budgeting

Define the production requirement

Define the maintenance requirement

Day Two: Developing the CMMS

Competency Description: The objective is to understand the supporting function of a CMMS.

Key behaviours

Understand the supporting function of a CMMS system

Explain the role of the CMMS in workflow & administrating maintenance history

Understand the importance of an asset register

Understand the configuration management practices

Identifying and learning from best practice

Topics to be covered

Database & structure

CMMS & workflow

CMMS & Maintenance Strategies

Asset register

Configuration management

Day Three: The Planning Function

Competency Description: The objective is to understand the relationship of the planning function and the preventive maintenance strategy.

The maintenance workflow and how it relates to the preventive maintenance strategy

Roles & responsibilities in work preparation, planning and scheduling

Principles of work preparation & planning

Principles of scheduling

Network planning

Day Four: Predictive Maintenance

Competency Description: The objective is to understand the different predictive maintenance technologies and how they fit in the RBM concept.

Key behaviours

Understanding the concept of PFA

Integration with RBM

Identifying the available predictive maintenance technologies

Understanding the application

Identifying and learning from best practice

Topics to be covered

Potential Failure Analysis (PFA)

Integration of PFA with FMECA & RBM

Understanding the P-F Interval

Decide which Technologies to Apply

Predictive maintenance technologies

Vibration analysis

Visual inspection

Infrared Thermography

Temperature sensitive labels

Megger tests

Ultrasonics

Oil analysis

Day Five: Control of the Maintenance Process

Competency Description: The objective is to understand how to get grip on the maintenance process and workflow by implementing the preventive maintenance strategies, integrate them into your system and monitor.

All rights reserved. Any unauthorized copying, distribution, use, dissemination, downloading, storing (in any medium), transmission, reproduction or reliance in whole or any part of this course outline is prohibited and will constitute an infringement of copyright.

All rights reserved. Any unauthorized copying, distribution, use, dissemination, downloading, storing (in any medium), transmission, reproduction or reliance in whole or any part of this course outline is prohibited and will constitute an infringement of copyright.